Microsoft Technology Licensing, LLC

Haitao Song

Subramaniam Venkatraman Krishnan

Yiwen Zhu

Ya Lin

Kam Kouladjie

Sreraman Narasimhan

Joyce Yu Cahoon

Wenjing Wang

Baiju Nair

Neetu Singh

Raymond Truong

XingYu Liu

Maria Alexandra Ciortea

Pratyush Rawat

Methods, systems, apparatuses, and computer-readable storage mediums described herein are directed to determining and recommending an optimal compute resource configuration for a cloud-based resource (e.g., a server, a virtual machine, etc.) for migrating a customer to the cloud. The embodiments described herein utilize a statistically robust approach that makes recommendations that are more flexible (elastic) and account for the full distribution of the amount of resource usage. Such an approach is utilized to develop a personalized rank of relevant recommendations to a customer. To determine which compute resource configuration to recommend to the customer, the customer's usage profile is matched to a set of customers that have already migrated to the cloud. The compute resource configuration that reaches the performance most similar to the performance of the configurations utilized by customers in the matched set is recommended to the user.

Cloud-based compute resource configuration recommendation and allocation for database migration

Various techniques of monitoring for click fraud in an online advertising system are disclosed herein. In one embodiment, a web server includes a traffic module configured to detect a request from a client device, an analysis module configured to perform a determination if the detected request includes a client ID. The web server also includes a calculation module configured to determine a count of requests with client ID and a count of requests without client ID based on the determination by the analysis module. The web server further includes a fraud module configured to monitor for click fraud based at least in part on the determined count of requests with client ID and/or count of requests without client ID from the calculation module and the determination by the analysis module.

Click fraud monitoring based on advertising traffic

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Sammamish, WA, United States of America

Haitao Song